Combinatorial Mathematics & Discrete Finance: A Practical guide for Analyst (Applied Game Theory)

Van Der Post, Hayden; Publishing, Reactive; Schwartz, Alice; Smith, Dave

ISBN 13: 9798312683592

Editore: Independently published, 2025

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Dati bibliografici

• Titolo: Combinatorial Mathematics & Discrete Finance: A Practical guide for Analyst (Applied Game Theory)
• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798312683592
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Reactive Publishing

Master Combinatorial Mathematics & Discrete Finance for Smarter Financial Decisions

Financial markets rely on discrete structures, combinatorial optimization, and advanced mathematical techniques to model risk, optimize portfolios, and enhance algorithmic trading strategies. Combinatorial mathematics and discrete finance provide a powerful framework for tackling high-dimensional financial problems, from portfolio selection and derivatives pricing to market simulations and risk modeling.

This comprehensive guide explores the intersection of discrete mathematics and finance, equipping analysts with real-world techniques and Python implementations to solve complex financial problems.

What You’ll Learn:

Graph Theory in Finance – Network models for market structure, systemic risk, and capital flow analysis
Combinatorial Portfolio Optimization – Integer programming, dynamic programming, and heuristics for asset allocation
Game Theory & Decision Trees – Strategic decision-making in trading, auctions, and competitive markets
Lattice Models & Binomial Trees – Discrete-time pricing models for options and risk-neutral valuation
Algorithmic Trading & Order Book Analysis – Combinatorial order matching and execution strategies
Blockchain & Cryptographic Finance – Elliptic curve cryptography, zero-knowledge proofs, and smart contract security
Python Implementations & Case Studies – Hands-on coding with NetworkX, SciPy, and NumPy

Who This Book is For:

Traders & Algorithmic Investors – Optimize trade execution with combinatorial methods
Risk Analysts & Portfolio Managers – Apply discrete models for efficient asset allocation
Quantitative Researchers & Data Scientists – Integrate combinatorial optimization into financial models
Students & Academics in Finance & Mathematics – Build a strong foundation in discrete finance applications

With clear explanations, practical case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.

Solve complex financial problems with discrete mathematics—get your copy today!